Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice

The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication approaches are cryptography-based, which, however, are usually computationally expensive and not adequate in the Internet of Things (IoT), where devices tend to be low-cost and with limited resources. This paper provides a comprehensive survey of physical layer-based device fingerprinting, which is an emerging device authentication for wireless security. In particular, this article focuses on hardware impairment-based identity authentication and channel features-based authentication. They are passive techniques that are readily applicable to legacy IoT devices. Their intrinsic hardware and channel features, algorithm design methodologies, application scenarios, and key research questions are extensively reviewed here. The remaining research challenges are discussed, and future work is suggested that can further enhance the physical layer-based device fingerprinting.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3570118
Citations
10
Primary Topic
Wireless Signal Modulation Classification
Type
article
Field-Weighted Citation Impact
24.81

Funders

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article

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice

Guanxiong Shen, Francesco Ardizzon, Stefano Tomasin, Junqing Zhang et al.
10 citations
IEEE Transactions on Information Forensics and Security
Wireless Signal Modulation Classification
24.81
article

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice

Guanxiong Shen, Francesco Ardizzon, Stefano Tomasin, Junqing Zhang, Mattia Piana
article en
10 citations

Abstract

The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication approaches are cryptography-based, which, however, are usually computationally expensive and not adequate in the Internet of Things (IoT), where devices tend to be low-cost and with limited resources. This paper provides a comprehensive survey of physical layer-based device fingerprinting, which is an emerging device authentication for wireless security. In particular, this article focuses on hardware impairment-based identity authentication and channel features-based authentication. They are passive techniques that are readily applicable to legacy IoT devices. Their intrinsic hardware and channel features, algorithm design methodologies, application scenarios, and key research questions are extensively reviewed here. The remaining research challenges are discussed, and future work is suggested that can further enhance the physical layer-based device fingerprinting.

IEEE Transactions on Information Forensics and SecurityVol. 20
University of Padua (IT), University of Liverpool (GB), Southeast University (CN)
Royal Society, National Natural Science Foundation of China, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 1%
Wireless Signal Modulation Classification
24.81
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Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice — Guanxiong Shen, Francesco Ardizzon, et al. · IEEE Transactions on Information Forensics and Security (2025) | TGRS Research Map | TGRS